This paper proposes a post-stroke rehabilitation system for hemiparetic-arm based on the application of tilt sensors. The study focuses on designing, developing and simulating the results. The result is documented for the purpose of post-processing and progressive status tracking. The subject needs to wear a set of sensors over the palm while performing a few basics arm movement. The data will be converted into series of readable data and will be displayed on android based smart phone. The experiment demonstrates the capabilities of the sensors to produce extended information regarding hand movement activities. It is believed that the system offers more information than conventional method and also the ability to improve training quality, results and patients progress. For initial proof of concept, the system will be tested to a healthy normal subject.